Spatiotemporal dynamics of snow cover based on multi-source remote sensing data in China
By combining optical remote sensing snow cover products with passive microwave remote sensing snow depth (SD) data, we produced a MODIS (Moderate Resolution Imaging Spectroradiometer) cloudless binary snow cover product and a 500 m snow depth product. The temporal and spatial variations of snow c...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2016-10-01
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| Series: | The Cryosphere |
| Online Access: | https://www.the-cryosphere.net/10/2453/2016/tc-10-2453-2016.pdf |
| _version_ | 1818981133034979328 |
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| author | X. Huang J. Deng X. Ma Y. Wang Q. Feng X. Hao T. Liang |
| author_facet | X. Huang J. Deng X. Ma Y. Wang Q. Feng X. Hao T. Liang |
| author_sort | X. Huang |
| collection | DOAJ |
| description | By combining optical remote sensing snow cover products with passive
microwave remote sensing snow depth (SD) data, we produced a MODIS (Moderate Resolution Imaging Spectroradiometer) cloudless
binary snow cover product and a 500 m snow depth product. The temporal and
spatial variations of snow cover from December 2000 to November 2014 in China
were analyzed. The results indicate that, over the past 14 years, (1) the
mean snow-covered area (SCA) in China was 11.3 % annually and 27 % in
the winter season, with the mean SCA decreasing in summer and winter seasons,
increasing in spring and fall seasons, and not much change annually;
(2) the snow-covered days (SCDs) showed an increase in winter, spring,
and fall, and annually, whereas they showed a decrease in summer; (3) the average SD decreased in winter, summer, and fall, while it increased in spring and annually; (4) the spatial distributions of SD and SCD were highly
correlated seasonally and annually; and (5) the regional differences
in the variation of snow cover in China were significant. Overall, the SCD
and SD increased significantly in south and northeast China, and decreased
significantly in the north of Xinjiang province. The SCD and SD increased on the
southwest edge and in the southeast part of the Tibetan Plateau, whereas it
decreased in the north and northwest regions. |
| first_indexed | 2024-12-20T17:26:28Z |
| format | Article |
| id | doaj.art-5a99c681992742569f4ad0664df42e2a |
| institution | Directory Open Access Journal |
| issn | 1994-0416 1994-0424 |
| language | English |
| last_indexed | 2024-12-20T17:26:28Z |
| publishDate | 2016-10-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The Cryosphere |
| spelling | doaj.art-5a99c681992742569f4ad0664df42e2a2022-12-21T19:31:33ZengCopernicus PublicationsThe Cryosphere1994-04161994-04242016-10-01102453246310.5194/tc-10-2453-2016Spatiotemporal dynamics of snow cover based on multi-source remote sensing data in ChinaX. Huang0J. Deng1X. Ma2Y. Wang3Q. Feng4X. Hao5T. Liang6Key Laboratory of Grassland Agro-Ecology System, College of Pastoral Agriculture Science and Technology, Lanzhou University, 730020 Lanzhou, ChinaKey Laboratory of Grassland Agro-Ecology System, College of Pastoral Agriculture Science and Technology, Lanzhou University, 730020 Lanzhou, ChinaKey Laboratory of Grassland Agro-Ecology System, College of Pastoral Agriculture Science and Technology, Lanzhou University, 730020 Lanzhou, ChinaKey Laboratory of Grassland Agro-Ecology System, College of Pastoral Agriculture Science and Technology, Lanzhou University, 730020 Lanzhou, ChinaKey Laboratory of Grassland Agro-Ecology System, College of Pastoral Agriculture Science and Technology, Lanzhou University, 730020 Lanzhou, ChinaChinese Academy of Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, 730000 Lanzhou, ChinaKey Laboratory of Grassland Agro-Ecology System, College of Pastoral Agriculture Science and Technology, Lanzhou University, 730020 Lanzhou, ChinaBy combining optical remote sensing snow cover products with passive microwave remote sensing snow depth (SD) data, we produced a MODIS (Moderate Resolution Imaging Spectroradiometer) cloudless binary snow cover product and a 500 m snow depth product. The temporal and spatial variations of snow cover from December 2000 to November 2014 in China were analyzed. The results indicate that, over the past 14 years, (1) the mean snow-covered area (SCA) in China was 11.3 % annually and 27 % in the winter season, with the mean SCA decreasing in summer and winter seasons, increasing in spring and fall seasons, and not much change annually; (2) the snow-covered days (SCDs) showed an increase in winter, spring, and fall, and annually, whereas they showed a decrease in summer; (3) the average SD decreased in winter, summer, and fall, while it increased in spring and annually; (4) the spatial distributions of SD and SCD were highly correlated seasonally and annually; and (5) the regional differences in the variation of snow cover in China were significant. Overall, the SCD and SD increased significantly in south and northeast China, and decreased significantly in the north of Xinjiang province. The SCD and SD increased on the southwest edge and in the southeast part of the Tibetan Plateau, whereas it decreased in the north and northwest regions.https://www.the-cryosphere.net/10/2453/2016/tc-10-2453-2016.pdf |
| spellingShingle | X. Huang J. Deng X. Ma Y. Wang Q. Feng X. Hao T. Liang Spatiotemporal dynamics of snow cover based on multi-source remote sensing data in China The Cryosphere |
| title | Spatiotemporal dynamics of snow cover based on multi-source remote sensing data in China |
| title_full | Spatiotemporal dynamics of snow cover based on multi-source remote sensing data in China |
| title_fullStr | Spatiotemporal dynamics of snow cover based on multi-source remote sensing data in China |
| title_full_unstemmed | Spatiotemporal dynamics of snow cover based on multi-source remote sensing data in China |
| title_short | Spatiotemporal dynamics of snow cover based on multi-source remote sensing data in China |
| title_sort | spatiotemporal dynamics of snow cover based on multi source remote sensing data in china |
| url | https://www.the-cryosphere.net/10/2453/2016/tc-10-2453-2016.pdf |
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